• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 33 matches

• 2005
• 
  Malik Agyemang, Ken Barker, Reda Alhajj:
  Web outlier mining: Discovering outliers from web datasets. Intell. Data Anal. 9(5): 473-486 (2005)
• 
  Christos Berberidis, Ioannis P. Vlahavas:
  Mining for weak periodic signals in time series databases. Intell. Data Anal. 9(1): 29-42 (2005)
• 
  Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome:
  Constraint-based concept mining and its application to microarray data analysis. Intell. Data Anal. 9(1): 59-82 (2005)
• 
  Ferenc Bodon, Ioannis N. Kouris, Christos Makris, Athanasios K. Tsakalidis:
  Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets. Intell. Data Anal. 9(1): 83-104 (2005)
• 
  Marc Boullé:
  Optimal bin number for equal frequency discretizations in supervized learning. Intell. Data Anal. 9(2): 175-188 (2005)
• 
  Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang:
  Analysis and summarization of correlations in data cubes and its application in microarray data analysis. Intell. Data Anal. 9(1): 43-57 (2005)
• 
  Wei-Chou Chen, Ming-Chun Yang, Shian-Shyong Tseng:
  A novel feature selection method for large-scale data sets. Intell. Data Anal. 9(3): 237-251 (2005)
• 
  James Geller, Xuan Zhou, Kalpana Prathipati, Sripriya Kanigiluppai, Xiaoming Chen:
  Raising data for improved support in rule mining: How to raise and how far to raise. Intell. Data Anal. 9(4): 397-415 (2005)
• 
  Saeed Hashemi:
  A linear wrapper for sample subset selection in atypical detection. Intell. Data Anal. 9(4): 329-345 (2005)
• 
  Yu He, Lihui Chen:
  A threshold criterion, auto-detection and its use in MST-based clustering. Intell. Data Anal. 9(3): 253-271 (2005)
• 
  Tianming Hu, Sam Yuan Sung:
  Consensus clustering. Intell. Data Anal. 9(6): 551-565 (2005)
• 
  Chenyong Hu, Benyu Zhang, Yongji Wang, Shuicheng Yan, Zheng Chen, Qing Wang, Qiang Yang:
  Learning quantifiable associations via principal sparse non-negative matrix factorization. Intell. Data Anal. 9(6): 603-620 (2005)
• 
  Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Tieju Ma:
  Mining scientific literature to predict new relationships. Intell. Data Anal. 9(2): 219-234 (2005)
• 
  Taghi M. Khoshgoftaar, Kehan Gao, Nawal H. Ibrahim:
  Evaluating indirect and direct classification techniques for network intrusion detection. Intell. Data Anal. 9(3): 309-326 (2005)
• 
  Taghi M. Khoshgoftaar, Jason Van Hulse:
  Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. Intell. Data Anal. 9(6): 589-602 (2005)
• 
  Taghi M. Khoshgoftaar, Pierre Rebours:
  Evaluating noise elimination techniques for software quality estimation. Intell. Data Anal. 9(5): 487-508 (2005)
• 
  Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao:
  Detecting noisy instances with the rule-based classification model. Intell. Data Anal. 9(4): 347-364 (2005)
• 
  Taghi M. Khoshgoftaar, Shi Zhong, Vedang H. Joshi:
  Enhancing software quality estimation using ensemble-classifier based noise filtering. Intell. Data Anal. 9(1): 3-27 (2005)
• 
  Jae-Moon Lee, Rafael A. Calvo:
  Scalable document classification. Intell. Data Anal. 9(4): 365-380 (2005)
• 
  Jinyan Li, Limsoon Wong:
  Structural geography of the space of emerging patterns. Intell. Data Anal. 9(6): 567-588 (2005)
• 
  Arup Kumar Nandi, Frank Klawonn:
  Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method. Intell. Data Anal. 9(5): 455-472 (2005)
• 
  Stergios Papadimitriou, Constantinos Terzidis:
  Efficient and interpretable fuzzy classifiers from data with support vector learning. Intell. Data Anal. 9(6): 527-550 (2005)
• 
  Graeme Richards, Victor J. Rayward-Smith:
  The discovery of association rules from tabular databases comprising nominal and ordinal attributes. Intell. Data Anal. 9(3): 289-307 (2005)
• 
  Lior Rokach, Oded Maimon:
  Feature set decomposition for decision trees. Intell. Data Anal. 9(2): 131-158 (2005)
• 
  Mathias Rossignol, Pascale Sébillot:
  Combining statistical data analysis techniques to extract topical keyword classes from corpora. Intell. Data Anal. 9(1): 105-127 (2005)
• 
  Antonin Rozsypal, Miroslav Kubat:
  Association mining in time-varying domains. Intell. Data Anal. 9(3): 273-288 (2005)
• 
  Tobias Scheffer:
  Finding association rules that trade support optimally against confidence. Intell. Data Anal. 9(4): 381-395 (2005)
• 
  Hong-Bin Shen, Jie Yang, Ningjiang Chen, Yifei Dong, Shitong Wang:
  Performing clustering analysis on collaborative models. Intell. Data Anal. 9(5): 419-438 (2005)
• 
  P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
  Dynamic Association Rule Mining using Genetic Algorithms. Intell. Data Anal. 9(5): 439-453 (2005)
• 
  Clifford S. Thomas, Catherine A. Howie, Leslie S. Smith:
  A New Singly Connected Network Classifier based on Mutual Information. Intell. Data Anal. 9(2): 189-205 (2005)

skipping 3 more matches